A novel decision tree algorithm on the class division degree of attribute
Jianjun Wang · 2011
In the process of constructing a decision tree, the criteria of selecting splitting attributes will influence the efficiency of classification. We present Class division degree decision tree method, a new concept based on Category factor which explains the classification ability of attributes set on the sample space. The experiment shows that the algorithm has better efficiency of building the decision tree.